apify-audience-analysis

apify-audience-analysis is a skill for Claude Code from lucaspmarie-a11y/claude-skills-vault. It costs 30 tokens per session (1,164 once invoked), scanned A, a copy of apify-audience-analysis, MIT.

A workflow for studying audiences on Facebook, Instagram, YouTube, and TikTok using extracted follower, engagement, and behavior data. It focuses on who interacts with content and how they behave.

In plain words
What is it for?
Use it to examine follower demographics, likes, video viewers, comments, engagement behavior, and other audience patterns across social platforms.
Why use it?
It helps replace assumptions about an audience with evidence about demographics, interests, engagement patterns, and interaction quality.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the antigravity-awesome-skills plugin — 199 skills shipped together

Good fit Use it to examine follower demographics, likes, video viewers, comments, engagement behavior, and other audience patterns across social platforms.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add lucaspmarie-a11y/claude-skills-vault
Claude Code
/plugin install antigravity-awesome-skills

Made for: Claude Code.

Or install antigravity-awesome-skills, the plugin that ships this one along with the rest of its 199 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for apify-audience-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/lucaspmarie-a11y/claude-skills-vault/apify-audience-analysis/github.svg)](https://agentmods.dev/skills/lucaspmarie-a11y/claude-skills-vault/apify-audience-analysis)
Your own site
<a href="https://agentmods.dev/skills/lucaspmarie-a11y/claude-skills-vault/apify-audience-analysis"><img src="https://agentmods.dev/badge/skills/lucaspmarie-a11y/claude-skills-vault/apify-audience-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for apify-audience-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/lucaspmarie-a11y/claude-skills-vault/apify-audience-analysis"><img src="https://agentmods.dev/badge/skills/lucaspmarie-a11y/claude-skills-vault/apify-audience-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,164 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00030 $0.01164
Opus 5 $0.00015 $0.00582
Sonnet 5 $0.00006 $0.00233
Haiku 4.5 $0.00003 $0.00116

Measured 9d ago against content hash dcbbe7a848c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

apify-audience-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (reference/scripts/run_actor.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to apify-audience-analysis — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/antigravity-awesome-skills-claude/skills/apify-audience-analysis/SKILL.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Audience Analysis

Analyze and understand your audience using Apify Actors to extract follower demographics, engagement patterns, and behavior data from multiple platforms.

Prerequisites

(No need to check it upfront)

  • .env file with APIFY_TOKEN
  • Node.js 20.6+ (for native --env-file support)
  • mcpc CLI tool: npm install -g @apify/mcpc

Workflow

Copy this checklist and track progress:

Task Progress:
- [ ] Step 1: Identify audience analysis type (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the analysis script
- [ ] Step 5: Summarize findings

Step 1: Identify Audience Analysis Type

Select the appropriate Actor based on analysis needs:

User Need Actor ID Best For
Facebook follower demographics apify/facebook-followers-following-scraper FB followers/following lists
Facebook engagement behavior apify/facebook-likes-scraper FB post likes analysis
Facebook video audience apify/facebook-reels-scraper FB Reels viewers
Facebook comment analysis apify/facebook-comments-scraper FB post/video comments
Facebook content engagement apify/facebook-posts-scraper FB post engagement metrics
Instagram audience sizing apify/instagram-profile-scraper IG profile demographics
Instagram location-based apify/instagram-search-scraper IG geo-tagged audience
Instagram tagged network apify/instagram-tagged-scraper IG tag network analysis
Instagram comprehensive apify/instagram-scraper Full IG audience data
Instagram API-based apify/instagram-api-scraper IG API access
Instagram follower counts apify/instagram-followers-count-scraper IG follower tracking
Instagram comment export apify/export-instagram-comments-posts IG comment bulk export
Instagram comment analysis apify/instagram-comment-scraper IG comment sentiment
YouTube viewer feedback streamers/youtube-comments-scraper YT comment analysis
YouTube channel audience streamers/youtube-channel-scraper YT channel subscribers
TikTok follower demographics clockworks/tiktok-followers-scraper TT follower lists
TikTok profile analysis clockworks/tiktok-profile-scraper TT profile demographics
TikTok comment analysis clockworks/tiktok-comments-scraper TT comment engagement

Read the full file on GitHub · 123 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 123 lines · 30 tokens per session scan A dcbbe7a848c3

Subscribe to this mod's changes

apify-audience-analysis is a skill published in the GitHub repository lucaspmarie-a11y/claude-skills-vault (5 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 1,164 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to apify-audience-analysis, differing in 0 lines, and is treated as a copy.

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